نتایج جستجو برای: ordinal logistic regression
تعداد نتایج: 336484 فیلتر نتایج به سال:
This paper explores the relationship between author-level bibliometric indicators and the researchers they “measure”, exemplified across five academic seniorities and four academic domains. Using cluster methodology, the disciplinary and seniority appropriateness of author-level indicators is examined. Publication and citation data for 741 researchers across Astronomy, Environmental Science, Ph...
Logistic regression is the most common method used to model binary response data. When the response is binary, it typically takes the form of 1/0, with 1 generally indicating a success and 0 a failure. However, the actual values that 1 and 0 can take vary widely, depending on the purpose of the study. For example, for a study of the odds of failure in a school setting, 1 may have the value of f...
The use of mobile wireless technologies brings associated paradoxes already identified in the literature. Thus, this research uses quantitative analysis to determine the perception of presence and intensity level of fourteen technological paradoxes related to the use of smartphone by professionals in Brazil. Besides, this study identifies the variables that impact the perception of each paradox...
This study examines the Behavior Based Safety (BBS) program of an oil production platform located off the coast of West Africa. The program has been in place at this 200-employee location since January 2002. All observation reports for 2003 were made available to explore relationships between behaviors recorded and incidence rates. A sample of 382 observation reports was selected from the 64,64...
Objectives: In analyses concerned with self-rated health it is common to dichotomise an ordinal-scale health measure and compare different subgroups of a population on basis of odds ratios from logistic regression models. Selfrated health is often explored also in wide age intervals. Since people’s health correlates strongly with their age, that approach is empirically problematic, particularly...
The cumulative logit or the proportional odds regression model is commonly used to study covariate effects on ordinal responses. This paper provides some graphical and numerical methods for checking the adequacy of the proportional odds regression model. The methods focus on evaluating functional misspecification for specific covariate effects, but misspecification of the link function can also...
In genetic association studies of an ordered categorical phenotype, it is usual to either regroup multiple categories of the phenotype into two categories and then apply the logistic regression (LG), or apply ordered logistic (oLG), or ordered probit (oPRB) regression, which accounts for the ordinal nature of the phenotype. However, they may lose statistical power or may not control type I erro...
Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this paper we are developing a boosting technique called multinomBoost that performs variable selection and fits the multinomial logit model also w...
The multinomial logit model is the most widely used model for nominal multi-category responses. One problem with the model is that many parameters are involved, another that interpretation of parameters is much harder than for linear models because the model is non-linear. Both problems can profit from graphical representations. We propose to visualize the effect strengths by star plots, where ...
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